TE Connectivity Data Scientist I Jobs 2026 in Bangalore | 0–3 Years Experience
TE Connectivity is inviting applications for the position of Data Scientist I in Bangalore, Karnataka. The opportunity is suitable for candidates with 0–3 years of experience in Data Science, Analytics, Machine Learning, or AI-related projects.
The role involves developing and validating machine learning models, analyzing large datasets, performing feature engineering, creating dashboards, and supporting the deployment and monitoring of ML models. Candidates with a background in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field can review the eligibility requirements and apply through the company’s official careers website.
TE Connectivity Data Scientist I – Job Overview
| Company | TE Connectivity |
| Job Title | Data Scientist I |
| Requisition ID | 160586 |
| Job Location | Doraisanipalya, J.P. Nagar, 4th Phase, Bannerghatta Road, Bangalore, Karnataka 560076, India |
| Posting City | Bangalore |
| Job Country | India |
| Workplace Type | Hybrid |
| Travel Required | Less than 10% |
| Experience | 0–3 years |
| Qualification | Bachelor’s or Master’s degree in a relevant field |
| Department / Careers Category | Information Technology |
| Salary | Not disclosed in the provided listing |
| Application | Apply through the official TE Connectivity careers page |
About TE Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology company that develops connectivity and sensor solutions. Its technologies support applications in transportation, energy networks, automated factories, data centers, and other industries that depend on the distribution of power, signal, and data.
The company describes its workforce as including more than 90,000 employees and 10,000 engineers working with customers in approximately 130 countries. Its stated purpose is to help create a safer, sustainable, productive, and connected future.
For more company information, visit TE Connectivity’s official website.
Data Scientist I – Job Responsibilities
As a Data Scientist I, candidates will work on data analysis and machine learning activities to help address business challenges. The responsibilities listed for this position include:
- Machine learning model development: Develop and validate machine learning models to address business challenges.
- Data preparation: Perform data exploration, data cleansing, feature engineering, and model evaluation.
- Data analysis: Analyze large datasets to identify trends, patterns, and business opportunities.
- Model deployment support: Support the deployment and monitoring of machine learning models in production environments.
- Dashboards and reporting: Build dashboards, reports, and visualizations to communicate analytical insights.
- Business collaboration: Work with business stakeholders to understand requirements and translate them into analytical solutions.
- Experimentation: Conduct experiments and evaluate model performance using appropriate metrics.
- Documentation: Document methodologies, assumptions, and results for knowledge sharing.
- Continuous learning: Stay updated with developments in AI, Machine Learning, and Data Science technologies.
Eligibility Criteria and Education
Applicants should review the following educational and experience requirements before applying:
- Educational qualification: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
- Experience: 0–3 years in Data Science, Analytics, Machine Learning, or AI-related projects.
- Project experience: Internship, academic, or industry experience in ML/AI projects is preferred.
The listing does not specify a particular graduation year, minimum percentage, or eligible college batch. Candidates should check the official application page for any additional requirements or updates.
Technical Skills Required
The position calls for a foundation in programming, data analysis, statistics, machine learning, and data visualization. The following skills are mentioned in the job description:
- Python: Strong proficiency in Python for data analysis and machine learning.
- SQL and databases: Good knowledge of SQL and relational databases.
- Machine Learning algorithms: Understanding of regression, classification, and clustering.
- Recommendation systems and forecasting: Knowledge of recommendation systems and time series forecasting.
- AI/ML libraries: Experience with Scikit-learn, Pandas, and NumPy; basic knowledge of TensorFlow or PyTorch.
- Statistics: Understanding of statistics, probability, hypothesis testing, and feature engineering.
- Data visualization: Skills using Power BI, Tableau, Matplotlib, or Seaborn.
- Generative AI: Basic knowledge of Generative AI and Large Language Models (LLMs).
- Cloud platforms: Familiarity with AWS, Azure, or Databricks is an advantage.
Candidates preparing for this role can revise Python data analysis, SQL queries, machine learning fundamentals, model evaluation metrics, feature engineering, and visualization techniques. A project that demonstrates the complete process—from data cleaning and analysis to model evaluation and communicating results—can help applicants explain their practical experience.
Key Qualities and Competencies
TE Connectivity lists the following qualities for this position:
- Strong analytical and problem-solving skills.
- Curiosity and willingness to learn new technologies.
- Good communication and presentation skills.
- Ability to collaborate with cross-functional teams.
- Attention to detail and quality.
- Self-motivation and a continuous improvement mindset.
- Results-oriented and customer-focused approach.
The company’s stated competencies and values include Integrity, Accountability, Inclusion, Innovation, and Teamwork.
Salary and Benefits
Salary: The specific salary for the Data Scientist I position is not disclosed in the provided job listing. Candidates should refer to the official application page or the recruitment team for compensation details.
TE Connectivity describes its employee package as including the following benefits, with the exact package potentially varying by site and business unit:
- Competitive salary package.
- Performance-based bonus plans.
- Health and wellness incentives.
- Employee stock purchase program.
- Community outreach programs and charity events.
- Employee resource groups.
The availability and terms of individual benefits may vary by location and employment arrangement. Confirm the applicable package during recruitment.
Job Location and Work Model
Location: Doraisanipalya, J.P. Nagar, 4th Phase, Bannerghatta Road, Bangalore, Karnataka 560076, India.
Workplace type: Hybrid.
Travel requirement: Less than 10%.
The listing identifies the workplace as hybrid, but it does not specify the number of office days, working hours, or the exact team schedule. Candidates should confirm these arrangements with TE Connectivity during the application process.
How to Apply for TE Connectivity Data Scientist I Jobs
Interested candidates can apply through the official TE Connectivity careers page. Follow these steps:
- Open the official job posting using the application link below.
- Check the job title, requisition ID 160586, location, experience range, and educational requirements.
- Prepare an updated resume highlighting relevant Python, SQL, data analysis, machine learning, and AI/ML project experience.
- Include academic projects, internships, or industry projects that demonstrate data preparation, model development, evaluation, and visualization, where applicable.
- Complete the application through the official careers website and submit the information requested.
- Review the application confirmation and follow any instructions provided by TE Connectivity’s recruitment team.
Apply Now – Official TE Connectivity Careers
Recruitment fraud alert: TE Connectivity states that it never requests payment or fees from job applicants at any stage of recruitment. Legitimate openings are posted on its official careers website at te.com/careers. The company also states that recruitment emails will come only from actual email addresses ending in @te.com. Do not pay anyone for an interview, job offer, or application processing.
Frequently Asked Questions (FAQs)
1. What is the experience required for TE Connectivity Data Scientist I?
Answer: The listed experience range is 0–3 years in Data Science, Analytics, Machine Learning, or AI-related projects. Internship, academic, or industry experience in ML/AI projects is preferred.
2. Which qualifications are accepted for this Data Scientist job?
Answer: Candidates with a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field are eligible to review the opportunity.
3. Is the TE Connectivity Data Scientist I job remote or hybrid?
Answer: The job listing identifies the workplace type as hybrid and the location as Bangalore, Karnataka. The exact office attendance schedule is not specified, so candidates should confirm it with the recruitment team.
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Keep your resume updated, practise Python and SQL, and strengthen your machine learning fundamentals before applying. Share this opportunity with candidates who have a background in Data Science, AI, or related fields and are looking for roles in Bangalore.